Traditional vision-based navigation algorithms are highly affected from non-nominal
conditions, which comprise illumination conditions and environmental uncertainties. Thanks …

Abstract Convolutional Neural Networks (CNN) offer promising opportunities to
automatically glean scientifically relevant information directly from annotated images …

This paper proposes the use of Transfer Learning from the Moon to Ceres for real-time
autonomous crater detection operations on asteroids. This approach, based on the use of a …

Impact craters are formed due to the high-speed collisions between small to medium-sized
celestial bodies. Impact is the most significant driving force in the evolution of celestial …

Impact craters are the most prominent topographic feature on the lunar surface, which will
play a very important role in the construction of lunar bases and lunar surface activities in the …

The aftermath of air raids can still be seen for decades after the devastating events.
Unexploded ordnance (UXO) is an immense danger to human life and the environment …

Lunar craters are essential for spacecraft landing navigation and lunar exploration missions.
Deep learning holds great promise in the crater detection task, but still faces some …

Аннотация Несмотря на бурное развитие вычислительных технологий и методов, рост
числа статей с применением морфометрического анализа рельефа, в этой ветви …

Inspired by the recent progress of multimodal fusion in a variety of computer vision tasks, this
letter aims to propose a two-stream fusion crater detection network (TFCDNet). Toward this …

摘要月球南极⁃ 艾特肯盆地是太阳系最大的撞击盆地之一, 也是月球上最大, 最古老的撞击盆地.
南极⁃ 艾特肯盆地是研究早期大型撞击事件的重要窗口, 而小型撞击坑的识别与计数定年是研究 …